Studying at the University of Verona

Here you can find information on the organisational aspects of the Programme, lecture timetables, learning activities and useful contact details for your time at the University, from enrolment to graduation.

Academic calendar

The academic calendar shows the deadlines and scheduled events that are relevant to students, teaching and technical-administrative staff of the University. Public holidays and University closures are also indicated. The academic year normally begins on 1 October each year and ends on 30 September of the following year.

Academic calendar

Course calendar

The Academic Calendar sets out the degree programme lecture and exam timetables, as well as the relevant university closure dates..

Definition of lesson periods
Period From To
CLID LEZ 1ANNO 1SEMESTRE VERONA Oct 2, 2017 Dec 7, 2017
CLID LEZ 1ANNO 2SEMESTRE VERONA Mar 5, 2018 May 4, 2018

Exam calendar

Exam dates and rounds are managed by the relevant Medicine Teaching and Student Services Unit.
To view all the exam sessions available, please use the Exam dashboard on ESSE3.
If you forgot your login details or have problems logging in, please contact the relevant IT HelpDesk, or check the login details recovery web page.

Exam calendar

Should you have any doubts or questions, please check the Enrollment FAQs

Academic staff

B C D F G L M N O P R S T V

Burro Roberto

symbol email roberto.burro@univr.it symbol phone-number +39 045 802 8743

Canova Giacomo Sebastiano

symbol email giacomosebastiano.canova@univr.it

Cardobi Nicolo'

symbol email nicolo.cardobi@univr.it

Chiarini Anna Maria

symbol email anna.chiarini@univr.it symbol phone-number +39 045 802 7646

Ciccocioppo Rachele

symbol email rachele.ciccocioppo@univr.it symbol phone-number 045 8124466

D'Agostino Antonio

symbol email antonio.dagostino@univr.it symbol phone-number +39 045 812 4023

Dell'Orco Daniele

symbol email daniele.dellorco@univr.it symbol phone-number +39 045 802 7637

Faccioni Fiorenzo

symbol email fiorenzo.faccioni@univr.it symbol phone-number +39 045 812 4251 - 4868

Fumagalli Guido Francesco

symbol email guido.fumagalli@univr.it symbol phone-number 045 802 7605 (dipartimento)

Fumene Feruglio Paolo

symbol email paolo.fumeneferuglio@univr.it symbol phone-number +39 0458027680

Gerosa Roberto

symbol email roberto.gerosa@univr.it symbol phone-number 0458124863

Lleo'Fernandez Maria Del Mar

symbol email maria.lleo@univr.it symbol phone-number 045 8027194

Locatelli Francesca

symbol email francesca.locatelli@univr.it symbol phone-number +39 045 8027655

Lombardo Giorgio

symbol email giorgio.lombardo@univr.it symbol phone-number +39 045 812 4867

Lora Riccardo

symbol email riccardo.lora@univr.it symbol phone-number 045 802 7606

Lorenzetto Erika

symbol email erika.lorenzetto@univr.it symbol phone-number +39 0458027620

Luciano Umberto

symbol email umberto.luciano@univr.it symbol phone-number +39 045 807 4251

Maffeis Claudio

symbol email claudio.maffeis@univr.it symbol phone-number +39 045 812 7664

Malchiodi Luciano

symbol email luciano.malchiodi@univr.it symbol phone-number +39 045 812 4855

Mansueto Giancarlo

symbol email giancarlo.mansueto@univr.it symbol phone-number 0458124301

Meyer Anja

symbol email anja.meyer@univr.it

Murgia Maria

symbol email maria.murgia@aovr.veneto.it

Nadalet Sylvain Giovanni

symbol email sylvain.nadalet@univr.it symbol phone-number +39 045 8425348

Olivieri Mario

symbol email mario.olivieri@univr.it symbol phone-number 045 8124921

Pardo Alessia

symbol email alessia.pardo@univr.it

Polettini Aldo Eliano

symbol email aldo.polettini@univr.it symbol phone-number 3337475432

Righi Elda

symbol email elda.righi@univr.it

Sboarina Andrea

symbol email andrea.sboarina@univr.it symbol phone-number +39 045 802 7291 - 7528

Scapini Patrizia

symbol email patrizia.scapini@univr.it symbol phone-number 0458027556

Schweiger Vittorio

symbol email vittorio.schweiger@univr.it symbol phone-number +39 045 812 4311

Scupoli Maria

symbol email mariateresa.scupoli@univr.it symbol phone-number 045-8027405 045-8128425

Signoretto Caterina

symbol email caterina.signoretto@univr.it symbol phone-number 045 802 7195

Signoriello Annarita

symbol email annarita.signoriello@univr.it

Trevisiol Lorenzo

symbol email lorenzo.trevisiol@univr.it symbol phone-number +39 045 812 4023

Study Plan

The Study Plan includes all modules, teaching and learning activities that each student will need to undertake during their time at the University.
Please select your Study Plan based on your enrollment year.

1° Year

ModulesCreditsTAFSSD
3
E/F
L-LIN/12
9
A/B
MED/28 ,MED/50 ,M-PSI/01 ,M-PSI/04
8
A/B
MED/04 ,MED/28 ,MED/36 ,MED/50
7
A/B
MED/07 ,MED/17 ,MED/42 ,MED/44 ,MED/45

2° Year  activated in the A.Y. 2018/2019

ModulesCreditsTAFSSD
4
B
MED/28 ,MED/50

3° Year  activated in the A.Y. 2019/2020

ModulesCreditsTAFSSD
Prova finale
7
E
-
ModulesCreditsTAFSSD
3
E/F
L-LIN/12
9
A/B
MED/28 ,MED/50 ,M-PSI/01 ,M-PSI/04
8
A/B
MED/04 ,MED/28 ,MED/36 ,MED/50
7
A/B
MED/07 ,MED/17 ,MED/42 ,MED/44 ,MED/45

Legend | Type of training activity (TTA)

TAF (Type of Educational Activity) All courses and activities are classified into different types of educational activities, indicated by a letter.




S Placements in companies, public or private institutions and professional associations

Teaching code

4S000290

Credits

4

Language

Italian

The teaching is organized as follows:

STATISTICA SANITARIA ED EPIDEMIOLOGICA CLINICA

Credits

2

Period

Lezioni CLID VERONA 1 anno 1 SEMESTRE

Academic staff

Francesca Locatelli

SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI

Credits

2

Period

Lezioni CLID VERONA 1 anno 1 SEMESTRE

Academic staff

Andrea Sboarina

Learning outcomes

------------------------
MM: STATISTICA SANITARIA ED EPIDEMIOLOGICA CLINICA
------------------------
The aim of the course is to provide the theoretical and practical tools for assessing the frequency of diseases in human populations and the associated risk factors. The course therefore aims to provide expertise in epidemiology and bio-statistics. At the end of the course, the student must demonstrate to have understood the basic bio-statistical methods applied to epidemiology and the elements of an epidemiological study.
------------------------
MM: SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI
------------------------
The module aims to provide knowledge on the basic concepts of: information, its representation and its processing systems. The course also aims to provide basic skills regarding on numerical data processing (using Excel) and research of scientific evidences (bibliographic research using biomedical databases such as MedLine and Cochrane Lybrary). These skills will be useful both for the preparation of the thesis and in a perspective of lifelong learning.

Program

------------------------
MM: STATISTICA SANITARIA ED EPIDEMIOLOGICA CLINICA
------------------------
Collection and organization of biomedical data: - stages of a statistical research; - population, sample and statistical units; - measurement process and measurement scales; - validity, accuracy and precision of a measuring instrument; - absolute, relative and cumulative frequencies; - one and two-way frequency tables. Graphical representation of biomedical data: - pie chart; - bar chart; - histogram; - cumulative frequency polygon. Measures of location and dispersion: - mode; - percentiles and median; - simple and weighted arithmetic mean; - range; - interquartile range; - deviance, variance and standard deviation; - coefficient of variation. An introduction to probability theory: - definition of probability; - axiomatic theory of probabilities; - rules of probability calculation; - independent and conditional probabilities; - Bernoulli and Gauss distributions. Diagnostic and screening tests: - sensitivity and specificity. The objects of epidemiology: - outcome; - measures of disease frequency (prevalence, cumulative incidence, incidence rate); - determinant. The occurrence relationship: - measures of absolute effect (attributable risk); - measures of relative effect (relative risk, odds ratio). The epidemiological studies: - ecological study; - cross-sectional study; - case-control study; - cohort study; - clinical trial. An introduction to statistical inference: - point estimate; - confidence interval; - statistical test.
------------------------
MM: SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI
------------------------
Introduction to the course. The concepts of: data, information and information processing systems. Information coding and structuring. From data to information (Exercises with Excel). Information processing. The hardware infrastructures. The software infrastructures. The software applications. Web applications for the research of biomedical evidences (Exercises with PubMed and Cochrane).

Bibliography

Reference texts
Author Title Publishing house Year ISBN Notes
Giuliani D, Dickson MM Analisi statistica con Excel 2015
Lantieri PB, Risso D, Ravera G Elementi di Statistica Medica McGraw-Hill 2007
Jekel JF, Katz DL, Elmore JG, Wild DMG Epidemiologia, Biostatistica e Medicina Preventiva Elsevier-Masson 2009
Verlato G, Zanolin ME Esercizi di Statistica Medica, Informatica ed Epidemiologia Libreria Cortina Editrice, Verona 2000
Glantz SA Statistica per Discipline Biomediche (Edizione 6) McGraw-Hill 2007 9788838639258
Sciuto, Buonanno, Mari Introduzione ai sistemi informatici 5/ed McGraw-Hill 2014 9788838668326

Examination Methods

------------------------
MM: STATISTICA SANITARIA ED EPIDEMIOLOGICA CLINICA
------------------------
The final test is a written exam with short answer questions and multiple choice questions. The aim of the test is to verify the knowledge of all the topics discussed. The final evaluation is expressed in thirtieths.
------------------------
MM: SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI
------------------------
The exam consists of two written tests. One test (mainly aimed to verify the student skills) will consist of exercises which have to be taken with the aid of a computer connected to the university network. The other test (mainly aimed to verify the student knowledges) will consist of questions with free-text answers and/or multiple-choice questions. Each exercise /question of both tests will be associated with a score (reported in the text of the exam). The maximum score achievable for each test is 16 points. In order to pass the course, the student must obtain a minimum score of 9 points in each test. The final grade corresponds to the sum of the scores obtained in the two tests up to a maximum of 30. In order to obtain the grade of excellence (30 cum laude) the student should provide correct and comprehensive answers for all the questions of the two tests (the sum of the scores obtained for the two tests should be 32 points).

Students with disabilities or specific learning disorders (SLD), who intend to request the adaptation of the exam, must follow the instructions given HERE

Career prospects


Module/Programme news

News for students

There you will find information, resources and services useful during your time at the University (Student’s exam record, your study plan on ESSE3, Distance Learning courses, university email account, office forms, administrative procedures, etc.). You can log into MyUnivr with your GIA login details: only in this way will you be able to receive notification of all the notices from your teachers and your secretariat via email and soon also via the Univr app.

Gestione carriere


Graduation

Documents

Title Info File
File pdf Esame di Stato - Esiti prova pratica_13 Novembre 2023 - pdf, it, 714 KB, 13/11/23

Orario Lezioni

Si pubblicano gli orari definitivi delle lezioni relativi al 2° semestre:

La frequenza in aula delle lezioni è obbligatoria ed è prevista per tutti e tre gli anni di corso.

 
1 ANNO: Aula 3 Lente didattica

2-3 ANNO: Aula 5 lente - e Aule Piastra Odontoiatrica

 

Documents


Calendario Esami

in questa pagina verranno pubblicati i calendari degli esami del Corso di Laurea.

 

 

 

 

 

Documents


Student login and resources